Software oriented training - JMP

Statistics doesn't really have a good reputation. Too mathematical, strange logic or obscure recipes sum it up for most people. Yet, many decisions are taken based on data, and that's what modern statistics is all about: understanding data and coming to meaningful conclusions. In this training, the focus is on graphical analysis and "common sense" statistics. The amount of mathematics is strongly reduced as compared to a typical stats course. What is not reduced is the emphasis on applications of statistics in every day's practice in business and industry.

Course objective
As a result of this course, you'll develop a real "feel" for statistics. You'll be able to choose an appropriate technique in JMP for the most common types of problems, and interpret the results correctly.

investigating the effect of different types of a constituent on the product properties

investigating the effect of a process parameter on a characteristic

Course set-up
This is a three-day course with hands-on computer exercises.

Design of Experiments with JMP

Whatever you want to investigate or optimize, the optimal way of doing it is called Design of Experiments (DOE), a.k.a. Experimental Design, Statistical Design of Experiments (SDE) or Multi-Variable Testing (MVT).

Course objective

As a result of this course, you'll be able to analyze a problem and develop a real "feel" for statistics. You'll be able to choose an appropriate technique in JMP for the most common types of problems and interpret the results correctly.

Prior knowledge
For Module I, no prior knowledge is assumed. For modules II and III a basic knowledge of statistics - as treated in the course Statistics in Practice - is recommended.

Course contents

Module I: Doing the right experiments

One Variable At a Time versus Experimental Design

Synergies and Antagonistic effects: the concept of interacting variables